Discontinuity Detection and Thresholding-a Stochastic Approach

Lee, David; Wasilkowski, Grzegorz W.

doi:10.1109/CVPR.1991.139689

Discontinuity Detection and Thresholding-a Stochastic Approach

David Lee, Grzegorz W. Wasilkowski

CVPR 1991 pp. 208-214

doi:10.1109/CVPR.1991.139689 /cvpr/1991/lee1991cvpr-discontinuity/

Abstract

Detection and thresholding using a stochastic approach is discussed. A general form of detectors which includes a number of well-known detectors as special cases is discussed. Thresholding is indispensable to eliminate spurious responses from the detection process. The authors propose a weighted thresholding, which is designed to cope with a variety of anomalies. The analysis and experimental results on real images show that intelligent thresholding methods can make a significant difference for discontinuity detection.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Lee and Wasilkowski. "Discontinuity Detection and Thresholding-a Stochastic Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139689

Markdown

[Lee and Wasilkowski. "Discontinuity Detection and Thresholding-a Stochastic Approach." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/lee1991cvpr-discontinuity/) doi:10.1109/CVPR.1991.139689

BibTeX

@inproceedings{lee1991cvpr-discontinuity,
  title     = {{Discontinuity Detection and Thresholding-a Stochastic Approach}},
  author    = {Lee, David and Wasilkowski, Grzegorz W.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {208-214},
  doi       = {10.1109/CVPR.1991.139689},
  url       = {https://mlanthology.org/cvpr/1991/lee1991cvpr-discontinuity/}
}